Curriculum Vitae
Last updated on October 31, 2023. The PDF version can be downloaded here (opens in a new tab).
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Educations
Northeastern University
- M.Sc. in Computer Science
- 2023/09 - 2024/12
- Boston, MA, USA
Attended: PyCon 2023 (Salt Lake City, UT), WWDC 2023 (Cupertino, CA), HackZurich 2023 (Zürich, Switzerland), ARIN 52 (San Diego, CA)
Thesis: TBD
Advisor: TBD
University of Utah
- B.Sc. in Computer Science
- 2019/08 - 2023/05
- Salt Lake City, UT, USA
Attended: CppCon 2021 (Denver, CO), PyCon 2022 (Salt Lake City, UT), DockerCon 2022 (Palo Alto, CA), HackMIT 2022 (Boston, MA)
Advisor: Shad Roundy (opens in a new tab)
Co-advisor: Tucker Hermans (opens in a new tab)
Employments
University of Utah
- Research Assistant
- 2021/08 - 2023/05
Joint research project, PI: Suzanne Vernon, advisor: Shad Roundy, co-adviser: Tucker Hermans. In collaboration with the Bateman Horne Center's clinical research team, we developed and managed a new data collection infrastructure.
The infrastructure is built on 5000+ lines of Nix, Python, Go and C++, aggregating 100+ IMUs, 20+ single-board computers, and 3+ high-performance servers. We collected terabyte-level motion data, and applied sensor fusion, motion analysis, and machine learning techniques on collected time-series data and survey data. We are planning to use our research outcome to propose to medical regulators as possible standardized diagnostic procedures and severity categorization methods for ME/CFS, Long COVID, and other related medical syndromes.
University of Utah
- System Administrator
- 2019/12 - 2020/09
Enterprise system administration, managed 1000+ university-owned Apple devices (Macs, iPads, Apple TVs, etc.).
Utilized Jamf Pro, Radmind, and Apple School Manager to perform day-to-day MDM tasks. Created multiple automation tools to perform unattended on-boarding, off-boarding, package licensing, updates, and distributions.
DJI
- Intern
- 2018/07 - 2018/08
Competitive robotic system design/modeling, embedded system programming, control system programming, and computer vision. Developed path planning and task scheduling algorithms for predefined workflow.
Utilized STM32F4 platform to build out a robotic system with wireless image transmission, image recognition, automated reasoning, and task scheduling capabilities, following predefined rule sets to complete tasks.